Assisterr is taking aim at the monopolization of AI by Big Tech, advocating for data ownership and the democratization of AI through community-owned small language models (SLMs) that provide tailored and efficient solutions.
The debate surrounding the potential global threat of artificial intelligence (AI) often overlooks a crucial point: the true danger lies not in AI itself, but in the possibility of tech giants, known as Big Tech, and governmental bodies monopolizing it. These powerful entities can subtly manipulate public perceptions and behaviors for their own gain, whether it be maximizing profits or exerting political control.
This scenario, far from being a dystopian fantasy, is our current reality and calls for immediate intervention. The issue at the heart of AI technology is data ownership. Big Tech has effectively taken ownership of humanity’s collective knowledge, training their large language models (LLMs) on freely available information and then restricting access to it through expensive monthly subscriptions, such as Google’s $60 million annual investment for access to Reddit’s user-generated content. This highlights the vast disparity between the value created by community contributions and the compensation (or lack thereof) received by those contributors.
In response to this, Assisterr, a Cambridge-based data layer for decentralized AI, positions itself as a catalyst for change by creating an infrastructure that supports decentralized AI data inference and a network of community-owned SLMs. This empowers the very people who contribute to the data ecosystem.
SLMs offer a targeted approach to AI, designed to address specific use cases with greater efficiency and lower costs compared to larger models. By combining efficiency with high-quality assistance, SLMs excel in automating and enhancing real-time interactions and providing support for developers within the Web3 ecosystem.
Assisterr integrates blockchain technology to facilitate a transparent mechanism for tracking community contributions and incentivize the sharing of previously inaccessible knowledge and data through rewards.
Community-owned SLMs have two key advantages over LLMs. Firstly, they are more efficient and cost-effective to train and maintain, making them ideal for specific business or technical needs. Secondly, the importance of a dynamic data pipeline often outweighs the significance of sheer model size, as regular data updates are crucial for keeping AI models relevant.
Assisterr addresses the challenge of data sharing, a key obstacle in developing AI-powered solutions, by creating an infrastructure that enables quick model setups and a framework that encourages data sharing through incentives.
At its core, Assisterr enables the creation of SLMs specialized for specific domains or business functions, which can be integrated with user interfaces and enhanced through community contributions. These SLMs are highly effective in their designated areas, benefiting from the expertise and continuous data updates provided by individual contributors.
Assisterr has trained AI-powered developer relations agents (DevRel AI agents) for various platforms, including Solana, Near, Particle Network, and Light Link. Trained using extensive tech documentation and codebases, DevRel AI agents have improved customer service by handling up to 95% of support requests, reducing wait times, and identifying areas for documentation improvement.
Assisterr’s model ensures that SLMs possess expertise in specific fields and supports community data ownership. The project includes an AI infrastructure layer for the interoperability of community-owned models and a mechanism for incentivizing data contribution and verification, ensuring that the models remain up-to-date and efficient.
In addition to initiating a contributors program, Assisterr plans to launch its testnet and deploy 100 AI Agents in the second quarter of 2024. This will be followed by the transition to its mainnet, integration with Solana, the beta release of the AI Lab, and the official launch of Assisterr’s AI Lab and Monad integration.
The goal of Assisterr is to maintain an up-to-date knowledge base for each AI model, ensuring an optimal user experience and interface. Beyond providing support to the developer community, Assisterr envisions expanding its capabilities to include the development of decentralized applications (DApps) and applications on behalf of users in the near future.
For more information about Assisterr, visit their website.
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